Browsing Facultad de Ingeniería de Sistemas Computacionales by Subject "Semantic localization"

Now showing items 1-4 of 4

    • Computing Image Descriptors from Annotations Acquired from External Tools 

      Rangel, José Carlos; Cazorla, Miguel; García Varea, Ismael; Martínez Gómez, Jesus; Fromont, Élisa; Sebban, Marc (11/28/2015)
      Visual descriptors are widely used in several recognition and classification tasks in robotics. The main challenge for these tasks is to find a descriptor that could represent the image content without losing representative ...

    • How to add new knowledge to already trained deep learning models applied to semantic localization 

      Cruz, Edmanuel; Rangel, José Carlos; Gomez Donoso, Francisco; Cazorla, Miguel (06/19/2019)
      The capacity of a robot to automatically adapt to new environments is crucial, especially in social robotics. Often, when these robots are deployed in home or office environments, they tend to fail because they lack the ...

    • Robot Semantic Localization Through CNN Descriptors 

      Cruz, Edmanuel; Rangel, José Carlos; Cazorla, Miguel (11/12/2017)
      Semantic localization for mobile robots involves an accurate determination of the kind of place where a robot is located. Therefore, the representation of the knowledge of this place is crucial for the robot. In this paper ...

    • Semantic Localization of a Robot in a Real Home 

      Bauer, Zuria; Rangel, José Carlos; Cazorla, Miguel; Gomez Donoso, Francisco (11/21/2018)
      In social robotics, it is important that a mobile robot knows where it is because it provides a starting point for other activities such as moving from one room to another. As a contribution to solving this problem in the ...